The batch clustering algorithm for classification application requires the initial parameters and also has a drifting phenomenon stochastic process. are critical to con-verge partial optimum. in original still space be improved thus speed up convergence based on parameters. This paper proposes an unsupervised method by addressing these two issues. Firstly, estimation been given preliminary with...

Noise in an image can affect one’s extraction of information, therefore, denoising is important pre-processing process. Many the existing models have a large number estimated parameters, which increases time complexity model solution and achieved effect less than ideal. As result, this paper, improved image-denoising algorithm proposed based on TV model, effectively solves above problems. The L...

In this paper we present a new feature of texture images which can scale the uniformity of image texture directions. The feature value is obtained by examining the statistic characteristic of the gradient information of the image. The simulation result illustrates that this feature can exactly coincide with the uniformity degree of image texture directions according to the perception of human e...

Single image super resolution is a classic and active image processing problem, which aims to generate high resolution (HR) image from a low-resolution input image. Due to the severely under-determined nature of this problem, an effective image prior is necessary to make the problem solvable, and to improve the quality of generated images. In this paper, we proposed a novel image super resoluti...